|
--- |
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dataset_info: |
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features: |
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- name: en |
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dtype: string |
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- name: vi |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 192744 |
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num_examples: 2000 |
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- name: train |
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num_bytes: 82614470 |
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num_examples: 1000000 |
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- name: validation |
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num_bytes: 194721 |
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num_examples: 2000 |
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download_size: 59201490 |
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dataset_size: 83001935 |
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task_categories: |
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- translation |
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language: |
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- en |
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- vi |
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tags: |
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- LM |
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size_categories: |
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- 1M<n<10M |
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--- |
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# Opus100 |
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|
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- Source: https://huggingface.co/datasets/opus100 |
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- Num examples: |
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- 1,000,000 (train) |
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- 2,000 (validation) |
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- 192,744 (test) |
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- Language: English |
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|
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```python |
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from datasets import load_dataset |
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|
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load_dataset("tdtunlp/opus100_envi") |
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``` |
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|
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- Format for Translation task |
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|
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```python |
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def preprocess( |
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sample, |
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instruction_key="### Instruction:", |
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input_key="Input:", |
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response_key="<|endofprompt|>", |
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end_key="<|endoftext|>", |
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en2vi=True, |
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): |
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if en2vi: |
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if random.random() < 0.5: |
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instruction = "Translate the following sentences from English into Vietnamese." |
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else: |
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instruction = "Dịch các câu sau từ tiếng Anh sang tiếng Việt." |
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|
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input = sample['en'].strip() |
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response = sample['vi'].strip() |
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else: |
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if random.random() < 0.5: |
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instruction = "Translate the following sentences from Vietnamese into English." |
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else: |
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instruction = "Dịch các câu sau từ tiếng Việt sang tiếng Anh." |
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|
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input = sample['vi'].strip() |
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response = sample['en'].strip() |
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|
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return {'text': """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. |
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{instruction_key} |
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{instruction} |
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{input_key} |
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{input} |
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{response_key} |
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{response} |
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{end_key}""".format( |
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instruction_key=instruction_key, |
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instruction=instruction, |
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input_key=input_key, |
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input=input, |
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response_key=response_key, |
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response=response, |
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end_key=end_key, |
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)} |
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|
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""" |
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Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request. |
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### Instruction: |
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Dịch các câu sau từ tiếng Anh sang tiếng Việt. |
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Input: |
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Toast falls jelly-side down, children hit tables and people get hurt. |
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<|endofprompt|> |
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Bánh mì nướng rơi đông lại, trẻ con va vào bàn và con người bị thương. |
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<|endoftext|> |
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""" |
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``` |